Of forests and grasslands: human, primate, and ungulate palaeoecology in Late Pleistocene-Holocene Sri Lanka
Bibliographic record
Abstract
The Wet Zone region of Sri Lanka has provided some of the earliest direct evidence of human utilization of rainforest resources anywhere in the world. Stable isotope analysis of human and animal remains, alongside detailed zooarchaeological analyses, have demonstrated reliance on rainforest resources as far back as 48,000 years ago. However, changes in human adaptations and the varying niches of exploited fauna, through major periods of climatic change such as during the Pleistocene-Holocene transition, remain relatively under-explored. Here, we present the results of stable carbon (δ 13 C) and oxygen (δ 18 O) isotope analyses of dental enamel from 311 animal and eight human teeth recovered from recent excavations at Fa-Hien Lena and Kitulgala Beli-lena from contexts spanning the Late Pleistocene and Holocene. Our data for human teeth from the Terminal Pleistocene and Holocene layers of Fa-Hien Lena and the Holocene layers of Kitulgala Beli-lena show little departure from rainforest resource reliance between the Pleistocene and Holocene. Meanwhile, the most dominant faunal taxa, including cercopithecid monkeys, show a similar stability in canopied forest habitation across the different species. However, δ 13 C data from ungulates found at Fa-Hien Lena indicate human populations did have access to forest edge and grassland habitats, suggesting either specific foraging trips or long-distance trade with other communities. In addition, our reporting of an Early Holocene presence of rhinoceros in the Wet Zone forest of Sri Lanka, the last fossil occurrence of this now regionally-extirpated taxon, highlights ongoing human interactions with large mammal communities on the island. We argue that our data demonstrate the benefits of detailed isotopic and zooarchaeological studies for detailed insights into the nature of tropical human adaptations through time.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".